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Job description

Who are Inchcape
At Inchcape Shipping Services, our vision is to create a connected world where customers can trade successfully and make informed decisions in every port, everywhere. We achieve this by combining our worldwide infrastructure with local expertise, through our global network of more than 250 proprietary offices and a team of over 3,000 dedicated professionals. Our diverse customer base includes owners and charterers in the oil, cruise, container, and bulk commodity sectors, as well as naval, government, and intergovernmental organizations.


We have an ambitious growth model, and a career here is certainly going to be a rewarding one that will allow you to bring your skills & experience. We embrace change and are open to new thinking and pushing for positive change in our industry.


Purpose of Job:


The Data Analyst/Scientist will be pivotal in strengthening the organization’s position in the data-related exercises including transforming raw, fragmented, and inconsistent data dumps into structured, high‑quality, business‑ready information. This role manages multiple internal and external data projects, developing automated pipelines, enforcing data quality standards, and supporting operational decision-making across the company.


The deliverables to ensure the accuracy, quality, and consistency of data. This role will focus on working across multiple data sources and systems to maintain data integrity and support project  operations. We are looking for a proactive Data Scientist to lead a critical data infrastructure projects, turning massive, inconsistent "data dumps" into actionable assets. You will build, validate, and automate data cleaning pipelines using Python and SQL


Key Accountabilities


  • Process diverse data formats including CSV, Excel, JSON, and SQL dumps using Python (pandas, NumPy).
  • Resolve structural inconsistencies, missing values, and anomalies in large datasets.
  • Apply Regex to cleanse messy text fields and standardize formats.
  • Build clean, relational structures from unorganised or semi‑structured data.
  • Design and automate end‑to‑end ETL pipelines that ingest, transform, validate, and load data.
  • Create scripts with audit logs, error-handling, and quality checks for repeatable processes.
  • Develop coding frameworks that support scalable data engineering operations.
  • Extract and consolidate data from ERP systems, middleware, banking portals, legacy invoices, and offline databases.
  • Standardize, deduplicate, and validate data using robust rule sets and validation tools.
  • Compare historic datasets with newly acquired data to identify deviations and root‑cause inconsistencies.
  • Maintain detailed documentation covering extraction rules, cleansing logic, validation steps, and pipeline workflows.
  • Organize supporting evidence for all data changes and store them in SharePoint and Excel repositories.
  • Work alongside finance teams to reconcile financial, banking, and AP-related data.
  • Support system migrations by preparing and validating datasets for middleware and enterprise platforms.
  • Assist in defining and implementing automated data cleansing processes for long‑term governance.
  • Perform advanced Excel tasks including VLOOKUPs, formula-based transformations, and dataset structuring.
  • Contribute to data visualisation and reporting; Power BI experience is advantageous.

Essential Knowledge, Experience & Skills


  • Preferred 12 months of experience as data analyst
  • Expert proficiency in Python, especially pandas, NumPy, and Regex.
  • Strong command of SQL for complex data extraction and transformation (SQLite, PostgreSQL, MySQL).
  • Knowledge of ETL workflows, automation concepts, and data engineering principles.
  • Proven ability to troubleshoot and resolve data integrity issues in large datasets.
  • High attention to detail, analytical mindset, and strong problem‑solving ability.
  • Effective communication skills with the ability to collaborate across diverse cultures.
  • Advanced PowerBI will be an advantage
  • Strong attention to detail and analytical skills
  • Strong communication skills working with people from different cultural backgrounds.

Why Inchcape Shipping Services?


We believe in building a diverse and high-performing workforce that works together to provide our customers with the exceptional service they deserve. To reach the highest standards, we depend on our people, their welfare, training and expertise. We realize the value of our staff and know that your unique experiences, skills and passions will help you to build a rich and rewarding career in our dynamic industry.


Our values are at the centre of everything we do, and the successful candidate will be expected to demonstrate and fully adopt these:


Global Perspective - we connect the world and see the bigger picture.


The Power of People - we rely on the strength of local agent knowledge and relationships.


Progress - we adopt new thinking and push for positive change in our industry.


In return, we will offer you:


A diverse range of benefits, depending on your geographical location. Globally, as a minimum, you will receive:


• A retirement savings plan


• Life assurance


• Holiday


• Competitive salary


• Employee Assistance Programme


• Career development and progression opportunities


• Values Award celebration events


Plus, much more!


If you think that you have the right skills, knowledge and attitude to join our team, then we invite you to apply by simply clicking at the top of this advert!


#ISSthebiggerpicture


Appointment to this role will be subject to satisfactory references and possession of a valid Right to Work documentation depending upon your geographical location.


Inchcape is an Equal Employment Opportunity Employer and equality, diversity and inclusion are at the centre of everything we do. We recognise that our customers, colleagues, contractors and other partners are central to our success and that we work in a diverse society. We acknowledge not only our legal, but also our moral responsibility to ensure all groups have equality of opportunity.


#LI-Onsite


#LI-MB1


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